中纬度地区混合云中稳定同位素分馏的数学模拟——以乌鲁木齐降水为例

文中介绍的数学模型考虑了混合云中液、固相共存时以及冰面过饱和环境下稳定同位素的动力分馏效应.利用该数学模型,模拟不同冷却条件下稳定同位素的温度效应.在相同的湿度条件下,湿绝热冷却过程中δ18O随温度的变化率小于等压冷却过程.冰面过饱和比S;的增大意味着动力分馏效应的增大.与平衡态过程相比,它的作用使得稳定同位素的综合分馏系数减小,从而使得降水中δ18O随温度的变化趋缓.模拟结果显示,湿绝热冷却过程中大气水线(MWLδD=bδ18O+d)的梯度项b和常数项d均大于等压冷却过程.不同的冰面过饱和比对大气水线的影响是不同的.与冰面过饱和比相比,b和d的大小对云中含水量的变化敏感性较低.模拟结果还显示,乌鲁木齐的降水不是来自海洋水汽的初始凝结.在经历了长途输送之后,乌鲁木齐降水中的稳定同位素成分在很大程度上被衰减.模拟的稳定同位素比率/温度、δD/δ18O曲线分别与乌鲁木齐实测的稳定同位素比率/温度回归线以及大气水线有非常好的一致性.     

中纬度地区混合云中稳定同位素分馏的数学模拟-以乌鲁木齐降水为例

介绍的数学模型考虑了混合云中液、固态共存时以及冰面过饱和环境下稳定同位素的动力分馏效应.利用该数学模型,模拟了不同冷却条件下稳定同位素的温度效应.在相同的湿度条件下,湿绝热冷却过程中δ18O随温度的变化率小于等压冷却过程.冰面过饱和比Si的增大意味着动力分馏效应的增大.与平衡态相比,它的作用使得稳定同位素的综合分馏系数减小,从而使得降水中δ18O随温度的变化趋缓.模拟显示,湿绝热冷却过程中大气水线(MWL:=bδ18O+d)的斜率b和常数d均大于等压冷却过程.全球大气水线位于湿绝热冷却过程和等压冷却过程条件下分别模拟的两条大气水线之间.b和d的大小与Si呈正比.Si愈大,动力分馏效应愈强,b和d也愈大.反之亦然.然而,b和d的大小对云中含水量的变化具有低的敏感性.利用动力分馏模式模拟了乌鲁木齐降水中稳定同位素的变化.模拟的稳定同位素比率-温度以及δD-δ18O曲线分别与乌鲁木齐实测的稳定同位素比率-温度回归线以及大气水线有非常好的一致性.     

沿三条水汽输送路径的降水中δ^18O变化特征

分析和比较了沿三条水汽输送路径降水中稳定同位素的变化。沿南方水汽路径，低纬度地区取样站降水中平均δ^18O的季节差异较小。自曼谷起，降水中δ^18O的季节差异明显增加。沿北方水汽路径，郑州以西取样站暖半年与冷半年平均δ^18O的季节差异均大于零。随着经度的增加，降水中平均δ^18O的季节差减小。沿高原水汽路径，印度次大陆南部降水中的δ^18O相对较高，随着纬度的增加，降水中δ^18O逐渐减小。在翻越喜马拉雅山后，由于强烈的洗涤作用，降水中δ^18O急剧下降。     

Atmospheric Methane in Ice Cores

<正> The reconstruction of air trapped in ice cores provides us the most di-rect information about atmospheric CH_4 variations in the past history.Ice corerecords from the“Three Poles(Antarctica,Greenland and Tibetan Plateau)”re-veal the detailed fluctuations of atmospheric CH_4 concentration with time and areallowed to quantify the CH_4 differences among latitudes.These data are indis-pensably in the farther study of the relationship between greenhouse gases andclimatic change,and of the past changes in terrestrial CH_4 emissions.Ice coresreconstruction indicates that atmospheric CH_4 concentration has increased quicklysince industrialization,and the present day's level of atmospheric CH_4(1800 pp-by)is unprecedented during the past Glacial-Interglacial climate cycles.     

A comparison of climatic change between Svalbard in Arctic and the Qinghai Tibetan Plateau

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降落雨滴中稳定同位素比率变化的数学模拟

根据扩散定律和热量平衡理论,运用云物理学模式,对降落雨滴中稳定同位素比率的变化进行了数值模拟,发现降落雨滴中稳定同位素比率的变化除受湿度条件的影响外,还受大气水汽中稳定同位素比率的影响。在非饱和大气中,受蒸发过程的影响,降落雨滴中稳定同位素比率随降落距离而不断增大,空气湿度越小,增大幅度越明显。平均而言,大气湿度与ｄδＤ／ｄδ１８Ｏ和Ｅｘｄ呈正比。ｄδＤ／ｄδ１８Ｏ以８为渐近线,Ｅｘｄ则在高湿和较大半径条件下逐渐趋近于一个常数;在饱和大气中,半径较小的雨滴或在湿度较高的环境中,雨滴中稳定同位素达到平衡的时间较短。反之,达到平衡的时间较长。     

古里雅冰芯中生物有机酸的初步分析

甲酸、乙酸是全球对流层中普遍存在的化学成分,它们对偏远地区降水中的酸度有很大影响,降水中存在的甲酸、乙酸必然会在冰川和冰盖中保存下来．然而,目前很少有文章报道山地冰川中甲酸、乙酸的测定结果及环境意义．我们用离子色谱法测定了古里雅上部５ｍ冰芯中甲酸、乙酸的浓度,结果显示,甲酸、乙酸具有明显的季节变化,峰值一般对应于夏季层位,说明甲酸、乙酸的来源不同于阳离子,粉尘不是其主要来源．将甲酸、乙酸的记录与冰芯中δ１８Ｏ和阳离子的记录对比,得出甲酸具有较敏感的气候指示意义．     

Variations of δ~(18)O in Precipitation along Vapor Transport Paths

Three sampling cross sections along the south path starting from the Tropics through the vapor passage in the Yunnan-Guizhou Plateau to the middle-low reaches of the Yangtze River, the north path from West China, via North China, to Japan under the westerlies, and the plateau path from South Asia over the Himalayas to the northern Tibetan Plateau, are set up, based on the IAEA (International Atomic Energy Agency)/WMO global survey network and sampling sites on the Tibetan Plateau. The variations, and the relationship with precipitation and temperature, of the δ18 O in precipitation along the three cross sections are analyzed and compared. Along the south path, the seasonal differences of mean δ18O in precipitation are small at the stations located in the Tropics, but increase markedly from Bangkok towards the north, with the δ18O in the rainy season smaller than in,the dry season. The δ18O values in precipitation fluctuate on the whole, which shows that there are different vapor sources. Along the n     

喜马拉雅山中部过去约300年季风降水变化

重建了1700年以来喜马拉雅山中部达索普冰芯积累量,该积累量直接反映了喜马拉雅山中部季风降水。研究了该积累量的变化规律,并分析了其与尼泊尔和印度东北部夏季风降水之间的关系,最后讨论了陆海热力差异与该积累量之间的关系。     

Variations of stable isotopic compositions in precipitation on the Tibetan Plateau and its adjacent regions

There is no temperature effect in the southern Tibetan Plateau and South Asia to the south of the Tanggula Mountains. Amount effect has been observed at a few sampling stations accounting for about a half of the statistical stations. There is notable temperature effect in the middle and northern Tibetan Plateau and its adjacent Central Asia to the north of the Tanggula Mountains. Because vapor directly originates from low-latitude oceans, the relative heavy δ¹⁸O with small variation characterizes the rainfall in South Asia. A sharp depletion of the stable isotopic compositions in precipitation takes place from Kyangjin on the southern slope of the Himalayas to the Tanggula Mountains in the middle plateau. From the Tanggula Mountains to the northern Tibetan Plateau, the δ¹⁸O in precipitation increases with increasing latitude.